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collect_person_rel.py
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collect_person_rel.py
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from urllib import request,parse
import gzip
import json
from lxml import etree
import pymongo
from collections import Counter
class PersonSpider:
def __init__(self):
self.conn = pymongo.MongoClient()
return
'''获取html'''
def get_html(self, word):
url = 'https://www.sogou.com/kmap?query='+ parse.quote(word)+'&from=relation&id='
print(word, url)
headers = {
'User-Agent': r'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '
r'Chrome/45.0.2454.85 Safari/537.36 115Browser/6.0.3',
'Connection': 'keep-alive',
'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate,br',
'Accept-Language': 'en-US,en;q=0.8',
'Cookie':'GOTO=Af11458; SUV=00EF7C967C10886459C27A09D07E2879; LSTMV=186%2C155; LCLKINT=2115; SUID=6488107C7C20940A0000000059C27A09; ABTEST=7|1543156540|v17; IPLOC=CN1100',
'Host':'www.sogou.com',
'Referer':'https://www.sogou.com/tupu/person.html?q=' + parse.quote(word),
}
req = request.Request(url, headers=headers)
page = request.urlopen(req).read()
html = gzip.decompress(page)
# 用urllib对网页进行请求,模式和界面版是一样的
try:
data = html.decode('UTF-16LE')[:-1]
data = json.loads(data)
except Exception as e:
return {}
return data
'''采集主函数'''
def spider_person(self, person):
#系统默认返回关于该实体的三度人物关系
data = self.get_html(person)
if not data:
return
nodes = data['nodes']
if not nodes:
return
else:
item = {}
item['nodes'] = nodes
item['links'] = data['links']
try:
self.conn['person_rel']['data2'].insert(item)
except Exception as e:
print(e)
'''收集人物名称'''
def collect_names_star(self):
f = open('korea_star_person_names.txt', 'w+')
for page in range(1,11):
# url = 'http://g.manmankan.com/dy2013/mingxing/fenlei/china/index_%s.shtml'%page
url = 'http://g.manmankan.com/dy2013/mingxing/fenlei/hanguo/index_%s.shtml'%page
req = request.Request(url)
page = request.urlopen(req).read().decode('gbk')
selector = etree.HTML(page)
names = selector.xpath('//li/a/@title')
f.write('\n'.join(list(names)) + '\n')
f.close()
'''收集历史人物'''
def collect_names_history(self):
f = open('history_person_names2.txt', 'w+')
content = open('history_names2.html').read()
selector = etree.HTML(content)
names = [i.replace(' ','') for i in selector.xpath('//li/a/text()')]
f.write('\n'.join(names) + '\n')
f.close()
'''采集函数'''
def spider_main(self):
history_names = [i.strip() for i in open('history_person_names.txt') if len(i.strip()) > 1]
star_names = [i.strip() for i in open('star_person_names.txt') if len(i.strip()) > 1]
name_dict = {
'star': star_names,
'history': history_names,
}
for label, names in name_dict.items():
for name in names:
data = self.spider_person(name)
'''读取人物名称'''
def update_data(self):
names_all_has = []
names_all_add = []
for item in self.conn['person_rel']['data'].find():
nodes =item['nodes']
links = item['links']
names = [node['name'] for node in nodes]
names_all_has += names
for item in self.conn['person_rel']['data2'].find():
nodes =item['nodes']
links = item['links']
names = [node['name'] for node in nodes]
names_all_add += names
for name in set(names_all_add).difference(set(names_all_has)):
self.spider_person(name)
return
'''统计有多少人物'''
def read_persons(self):
f = open('person.txt', 'w+')
names_all = []
links_all = []
for item in self.conn['person_rel']['data2'].find():
nodes = item['nodes']
links = item['links']
link_names = [link['name'] for link in links]
links_all += link_names
names = [node['name'] for node in nodes]
names_all += names
print(len(set(names_all)), len(names_all))
print(len(set(links_all)), len(links_all))
f.write('\n'.join(list(set(names_all))))
f.close()
'''整理人物数据'''
def modify_data(self):
f_rel = open('rel_data.txt', 'w+')
f_reltype = open('rel_type.txt', 'w+')
f_person = open('person2id.txt', 'w+')
person_dict = {}
rel_dict = {}
rel_list = set()
rel_types = []
for item in self.conn['person_rel']['data2'].find():
nodes = item['nodes']
for node in nodes:
id = node['id']
name = node['name']
person_dict[id] = name
for item in self.conn['person_rel']['data2'].find():
links = item['links']
for link in links:
from_person = person_dict.get(link['from'], '')
to_person = person_dict.get(link['to'], '')
if not from_person or not to_person:
continue
rel_name = link['name']
rel_type = link['type']
rel_dict[rel_name] = rel_type
data = [from_person, to_person, rel_name, str(rel_type)]
rel_list.add('###'.join(data))
rels_num = len(rel_list)
persons_num = len(person_dict.keys())
for rel in rel_list:
if len(rel.split('###')) != 4:
continue
rel_name = rel.split('###')[2]
rel_types.append(rel_name)
for id, name in person_dict.items():
f_person.write(str(id) + '\t' + name + '\n')
reltype_dict = Counter(rel_types).most_common()
sum = 0.0
for i in reltype_dict:
rel_name = i[0]
rel_freq = i[1]
rel_percent = rel_freq/rels_num
sum += rel_percent
f_reltype.write(rel_name + '\t' + str(rel_freq) + '\t' + str(rel_percent) + '\t' + str(sum) + '\n')
f_rel.write('\n'.join(list(rel_list)))
f_person.close()
f_rel.close()
f_reltype.close()
print('rels_num', rels_num)
print('persons_num', persons_num)
return
if __name__ == '__main__':
handler = PersonSpider()
handler.spider_main()